Defining composition and function of the rhizosphere microbiota of barley genotypes exposed to growth-limiting nitrogen supplies
Defining composition and function of the rhizosphere microbiota of barley genotypes exposed to growth-limiting nitrogen supplies
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定义暴露于生长限制氮供应的大麦基因型根际微生物群的组成和功能
DOI：
10.1101/605204
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Terrazas R
中科院分区：
文献类型：
--
作者：
Terrazas R
背景：自农业问世以来，人类对植物的选择逐渐将26种需要投入的生产性作物与生长在边缘地区的野生祖先区分开来。27大麦(大麦)是全球第四大种植谷物，是这一过程的典型例子。我们以前证明了野生和驯化大麦29在其根际拥有不同的微生物群落。在这里，我们检验了假设30，即微生物区系多样化受到土壤中氮肥施用量31的调节和响应，并评估了微生物区系组成对植物生长的影响。32方法：33我们饲养了两个野生的普通刺参。Senstaneum)和一种现代驯化的(H.visgare 34 SSP.)普通大麦)大麦在农业土壤中的基因型，在有和没有氮35(N)投入的情况下进行了修正。通过双管齐下的16S rRNA基因调查和鸟枪式元基因组学36方法，我们确定了施氮对37个大麦微生物区系的分类组成的影响，以及暴露在有限氮素供应下的微生物群落38的功能多样性。同时，我们使用元基因组学读数来重建微生物区系中单个细菌成员的39个基因组。最后，我们实施了一项植物-土壤反馈实验，以评估微生物区系对植物生长的贡献。42结果：43个根际剖面与未种植的对照不同，表现出显著的、44个植物介导的、依赖于N肥的分类多样性，在N限制条件下达到最大值45个。引人注目的是，这种多样化反映了大麦微生物区系的代谢专门化46，其功能涉及在野生型中丰富的氮和硫代谢47，而不是在现代型中丰富的RNA和细胞膜代谢48。我们重建了28个高质量的单个细菌49个基因组，偏向类杆菌和变形杆菌，这是在野生和现代基因型之间差异招募的50个分类群中的一个。一项植物-土壤反馈51实验显示，与未处理的土壤中保持的植物相比，暴露在热灭菌土壤中的现代植物生长少52，尽管这一差异仅对暴露在野生大麦微生物群中的植物显著。54结论：55我们的研究结果表明，氮素有效性是根际细菌群落结构和功能结构的调节器，提示氮的有效性是有限的，但57
Background: 25 Since the dawn of agriculture, human selection on plants has progressively differentiated 26 input-demanding productive crops from their wild progenitors thriving in marginal areas. 27 Barley (Hordeum vulgare), the fourth most cultivated cereal globally, is a prime example of 28 this process. We previously demonstrated that wild and domesticated barley genotypes 29 host distinct microbial communities in their rhizosphere. Here we tested the hypothesis 30 that microbiota diversification is modulated by, and in response to, nitrogen (N) application 31 in soil and we assessed the impact of microbiota composition on plant growth. 32Methods: 33 We grew two wild (H. vulgare ssp. spontaneum) and a modern domesticated (H. vulgare 34 ssp. vulgare) barley genotypes in an agricultural soil amended with and without nitrogen 35 (N) inputs. By using a two-pronged 16S rRNA gene survey and a shotgun metagenomics 36 approach, we determined the impact of N application on the taxonomic composition of the 37 barley microbiota as well as the functional diversification of microbial communities 38 exposed to limiting nitrogen supplies. In parallel, we used metagenomics reads to 39 reconstruct genomes of individual bacterial members of the microbiota. Finally, we 40 implemented a plant-soil feedback experiment to assess the microbiota’s contribution to 41 plant growth. 42Results: 43 Rhizosphere profiles were distinct from unplanted soil controls and displayed a significant, 44 plant-mediated, N application-dependent taxonomic diversification which is maximised 45 under N-limiting conditions. Strikingly, this diversification mirrors a metabolic specialisation 46 of the barley microbiota, with functions implicated in nitrogen and sulphur metabolism 47 enriched in a wild genotype as opposed to the RNA and cell capsule metabolisms 48 enriched in a modern genotype. We reconstruct 28 high-quality individual bacterial 49 genomes with a bias for Bacteroidetes and Proteobacteria, which are among the taxa 50 differentially recruited between wild and modern genotypes. A plant-soil feedback 51 experiment revealed that modern plants exposed to heat-sterilised soils grew less 52 compared to plants maintained in untreated soils, although this difference was significant 53 only for plants exposed to the wild barley microbiota. 54Conclusions: 55 Our results point at nitrogen availability as a modulator of the structural and functional 56 configuration of the rhizosphere bacterial communities and suggest a limited, but 57
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DOI：
10.1038/ismej.2012.8
发表时间：
2012-08
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
--
影响因子：
9.7
作者：
Conor J. Murphy;E. Baggs;N. Morley;D. Wall;E. Paterson
通讯作者：
Conor J. Murphy;E. Baggs;N. Morley;D. Wall;E. Paterson
影响因子：
4.1
作者：
Kaplan, Ian;Bokulich, Nicholas A.;Ingerslew, Kathryn S.
通讯作者：
Ingerslew, Kathryn S.
影响因子：
30.3
作者：
Bulgarelli D;Garrido-Oter R;Münch PC;Weiman A;Dröge J;Pan Y;McHardy AC;Schulze-Lefert P
通讯作者：
Schulze-Lefert P
影响因子：
3.7
作者：
Schreiber M;Wright F;MacKenzie K;Hedley PE;Schwerdt JG;Little A;Burton RA;Fincher GB;Marshall D;Waugh R;Halpin C
通讯作者：
Halpin C